Literature DB >> 27748026

A description of clinician reported diagnosis of type 2 diabetes and other non-type 1 diabetes included in a large international multicentered pediatric diabetes registry (SWEET).

Danièle Pacaud1, Anke Schwandt2,3, Carine de Beaufort4,5, Kristina Casteels6,7, Jacques Beltrand8,9, Niels H Birkebaek10, Myrna Campagnoli11, Natasa Bratina12, Catarina Limbert13, Stephen Mp O'Riordan14, Rogério Ribeiro15, Andriani Gerasimidi-Vazeou16, Lenka Petruzelkova17, Rasa Verkauskiene18, Iveta Dzivite Krisane19.   

Abstract

BACKGROUND: Although type 1 diabetes (T1D) remains the most frequent form of diabetes in individuals aged less than 20 years at onset, other forms of diabetes are being increasingly recognized.
OBJECTIVES: To describe the population of children with other forms of diabetes (non-type 1) included in the multinational SWEET (Better control in Pediatric and Adolescent diabeteS: Working to crEate CEnTers of Reference) database for children with diabetes.
METHODS: Cases entered in the SWEET database are identified by their physician as T1D, type 2 diabetes (T2D) and other types of diabetes according to the ISPAD classification. Etiologic subgroups are provided for other types of diabetes. Descriptive analyses were tabulated for age at onset, gender, daily insulin doses, and hemoglobin A1c (A1C) for each type and subtype of diabetes and when possible, values were compared.
RESULTS: Of the 27 104 patients included in this report, 95.5% have T1D, 1.3% T2D, and 3.2% other forms of diabetes. The two most frequent etiologies for other forms of diabetes were maturity onset diabetes of the young (MODY) (n = 351) and cystic fibrosis-related diabetes (CFRD) (n = 193). The cause was unknown or unreported in 10% of other forms of diabetes. Compared with T1D, children with T2D and CFRD were diagnosed at an older age, took less insulin and had lower A1C (all P < .0001).
CONCLUSION: In centers included in SWEET, forms of diabetes other than type 1 remain rare and at times difficult to characterize. Sharing clinical information and outcome between SWEET centers on those rare forms of diabetes has the potential to improve management and outcome.
© 2016 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  zzm321990MODYzzm321990; monogenic diabetes; neonatal diabetes; pediatric diabetes; type 2 diabetes

Mesh:

Year:  2016        PMID: 27748026     DOI: 10.1111/pedi.12426

Source DB:  PubMed          Journal:  Pediatr Diabetes        ISSN: 1399-543X            Impact factor:   4.866


  9 in total

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5.  The Distribution of Different Types of Diabetes in Childhood: A Single Center Experience

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6.  A decision algorithm to identify patients with high probability of monogenic diabetes due to HNF1A mutations.

Authors:  Magdalena Szopa; Tomasz Klupa; Maria Kapusta; Bartlomiej Matejko; Damian Ucieklak; Wojciech Glodzik; Barbara Zapala; Cyrus Maurice Sani; Jerzy Hohendorff; Maciej T Malecki; Jan Skupien
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7.  The current landscape of European registries for rare endocrine conditions.

Authors:  S R Ali; J Bryce; M Cools; M Korbonits; J G Beun; D Taruscio; T Danne; M Dattani; O M Dekkers; A Linglart; I Netchine; A Nordenstrom; A Patocs; L Persani; N Reisch; A Smyth; Z Sumnik; W E Visser; O Hiort; A M Pereira; S F Ahmed
Journal:  Eur J Endocrinol       Date:  2019-01-01       Impact factor: 6.664

8.  Traditional clinical criteria outperform high-sensitivity C-reactive protein for the screening of hepatic nuclear factor 1 alpha maturity-onset diabetes of the young among young Asians with diabetes.

Authors:  Suresh Rama Chandran; Jaydutt Bhalshankar; Rashida Farhad Vasanwala; Yi Zhao; Katharine R Owen; Daphne Su-Lyn Gardner
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Review 9.  Wolfram Syndrome Type 2: A Systematic Review of a Not Easily Identifiable Clinical Spectrum.

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  9 in total

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